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Analyzing Neural Time Series Data: Theory and Practice,Analyzing Neural Time Series Data: Theory and Practice,ModelDB: Show Model,Case Studies in Neural Data Analysis: A Guide for the,Identification of Optimal Data Augmentation Techniques for裁断済みです。新ミトコンドリア学。\r書き込みありません。Kindle Paperwhite マンガモデル、32GB、ホワイト、広告なし。状態良好で読む上で問題ありません。ウィルスバスター　トータルセキュリティ　スタンダード3年版。\r出品時点でAmazon.co.jpで新品価格11,175円です。Kindle 2019年発売 10世代。\r\r\r#脳波　#EEG \r#信号処理 #神経科学 #生体信号処理　#MATLAB\r\rMike X Cohen\rAnalyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology)\r\rA comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.\rThis book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals.